abhinav User

I am an MLOps and LLM engineer with hands-on experience building end-to-end machine learning pipelines, production monitoring, and LLM fine-tuning. I develop reproducible workflows using DVC, MLflow, Docker, Kubernetes, and cloud storage to deliver scalable, production-ready models.

I've implemented transformer architectures and GPT-style models from scratch in PyTorch, fine-tuned open-source LLMs with LoRA and quantization, and optimized training for memory and convergence. My projects include sentiment-analysis MLOps pipelines with CI/CD and observability, and large-scale text generation with strong empirical results.

I combine engineering rigor with product thinking, having drafted system designs and feature proposals, and applied MECE problem solving and executive communication techniques. I seek roles where I can deploy robust ML systems, improve model lifecycle automation, and drive impactful AI products.